| An AI and ML-enabled framework for proactive risk mitigation and resilience optimization in global supply chains during national emergencies RS Khan, MRM Sirazy, R Das, S Rahman Sage Science Review of Applied Machine Learning 5 (2), 127-144, 2022 | 26 | 2022 |
| Cybersecurity challenges and defense strategies for critical us infrastructure: A sector-specific and cross-sectoral analysis MRM Sirazy, RS Khan, R Das, S Rahman International Journal of Information and Cybersecurity 7 (1), 73-101, 2023 | 25 | 2023 |
| A collaborative intelligence (CI) framework for fraud detection in U.S. federal relief programs R Das, MRM Sirazy, RS Khan, S Rahman Applied Research in Artificial Intelligence and Cloud Computing 6 (9), 47-59, 2023 | 22 | 2023 |
| Data-driven perspectives on federal budgetary dynamics for identifying anomalies and patterns in resource allocation and obligation trends RS Khan, MRM Sirazy, R Das, S Rahman Quarterly Journal of Emerging Technologies and Innovations 9 (3), 50-70, 2024 | 10 | 2024 |
| An exploration of artificial intelligence techniques for optimizing tax compliance, fraud detection, and revenue collection in modern tax administrations S Rahman, MRM Sirazy, R Das, RS Khan International Journal of Business Intelligence and Big Data Analytics 7 (3 …, 2024 | 10 | 2024 |
| Cybersecurity Challenges and Defense Strategies for Critical US Infrastructure: A Sector-Specific and Cross-Sectoral Analysis MR Mahamud, RS Khan, R Das, S Rahman International Journal of Information and Cybersecurity 1, 73-101, 2023 | | 2023 |
Md Riad Mahamud SirazyTechnology Integration Specialist在 wust.edu 的电子邮件经过验证
